Interest in nonparametric methodology has grown considerably over
the past few decades, stemming in part from vast improvements in
computer hardware and the availability of new software that allows
practitioners to take full advantage of these numerically intensive
methods. This book is written for advanced undergraduate students,
intermediate graduate students, and faculty, and provides a
complete teaching and learning course at a more accessible level of
theoretical rigor than Racine's earlier book co-authored with Qi
Li, Nonparametric Econometrics: Theory and Practice (2007). The
open source R platform for statistical computing and graphics is
used throughout in conjunction with the R package np. Recent
developments in reproducible research is emphasized throughout with
appendices devoted to helping the reader get up to speed with R, R
Markdown, TeX and Git.
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